Đang chuẩn bị liên kết để tải về tài liệu:
A high dynamic range imaging algorithm: Implementation and evaluation

Không đóng trình duyệt đến khi xuất hiện nút TẢI XUỐNG

This paper proposes a Histogram Based Exposure Time Selection (HBETS) method to automatically adjust the proper exposure time of each lens for different scenes.In order to guarantee at least two valid reference values for High Dynamic Range (HDR) image processing, we adopt the proposed weighting function that restrains random distributed noise caused by micro-lens and produces a high quality HDR image. | A high dynamic range imaging algorithm: Implementation and evaluation

TÀI LIỆU LIÊN QUAN

Modelling and simulation of a stationary high-rise elevator system to predict the dynamic interactions between its components

A high dynamic range imaging algorithm and its implementation for a 4 by 1 camera array

Pump design and computational fluid dynamic analysis for high temperature sulfuric acid transfer system

A high dynamic range imaging algorithm: Implementation and evaluation

High-order dynamic Bayesian Network learning with hidden common causes for causal gene regulatory network

The role of uncertainty in supply chains under dynamic modeling

Ebook ASCI alliance center for simulation of dynamic response in materials FY 2000 annual report: Part 1

Association between high-resolution MRIdetected extramural vascular invasion and tumour microcirculation estimated by dynamic contrast-enhanced MRI in rectal cancer: Preliminary results

Cloud computing for detecting high-order genome-wide epistatic interaction via dynamic clustering

Enabling dynamic network analysis through visualization in TVNViewer
Đã phát hiện trình chặn quảng cáo AdBlock
Trang web này phụ thuộc vào doanh thu từ số lần hiển thị quảng cáo để tồn tại. Vui lòng tắt trình chặn quảng cáo của bạn hoặc tạm dừng tính năng chặn quảng cáo cho trang web này.